Scientific Data Analysis using Jython Scripting and Java
Scientific Data Analysis using Jython Scripting and Java presents practical approaches for data analysis using Java scripting based on Jython, a Java implementation of the Python language. The chapters essentially cover all aspects of data analysis, from arrays and histograms to clustering analysis,...
Κύριος συγγραφέας: | |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
London :
Springer London : Imprint: Springer,
2010.
|
Σειρά: | Advanced Information and Knowledge Processing,
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Jython, Java and jHepWork
- to Jython
- Mathematical Functions
- One-dimensional Data
- Two-dimensional Data
- Multi-dimensional Data
- Arrays, Matrices and Linear Algebra
- Histograms
- Random Numbers and Statistical Samples
- Graphical Canvases
- Input and Output
- Miscellaneous Analysis Issues Using jHepWork
- Data Clustering
- Linear Regression and Curve Fitting
- Neural Networks
- Steps in Data Analysis
- Real-life Examples.